Data Pipelines with TensorFlow Data Services
This AI course instructs students on the optimization of input pipelines, dataset segmentation, data preparation for training pipelines, and efficient ETL tasks using TensorFlow Data Services APIs.
Description for Data Pipelines with TensorFlow Data Services
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 21
Offered by: On Coursera provided by DeepLearning.AI
Duration: 11 hours (approximately)
Schedule: Flexible
Pricing for Data Pipelines with TensorFlow Data Services
Use Cases for Data Pipelines with TensorFlow Data Services
FAQs for Data Pipelines with TensorFlow Data Services
Reviews for Data Pipelines with TensorFlow Data Services
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for Data Pipelines with TensorFlow Data Services
Genei is an AI-driven research and summarization tool designed to enhance writing and research processes for professionals, featuring keyword extraction, project folders, AI-powered summarization, and a 14-day free trial with high user satisfaction.
Lutra AI simplifies AI workflows and application integration, prioritizing user security and continually improving based on feedback.
Zuva Contracts AI's DocAI is an AI tool specialized in contract analysis, capable of processing PDF files, offering customizable options for various contract types, and efficiently extracting critical information.
Learn machine learning with Google Cloud. End-to-end machine learning experimentation in the real world
Specialization in Machine Learning at BreakIntoAI. Master the fundamental AI concepts and cultivate practical machine learning skills in the beginner-friendly, three-course program by AI visionary Andrew Ng.
Become an adept in the field of machine learning. Break into the field of artificial intelligence by mastering the fundamentals of deep learning. Recently upgraded with state-of-the-art methodologies!
The Deep Learning Specialization offers a comprehensive foundation in deep learning, practical skills in constructing neural networks, and prepares individuals to integrate machine learning into professional endeavors, advancing careers in AI.
Gain the skills needed for a machine learning engineering role and prepare for the Google Cloud Professional Machine Learning Engineer certification exam by learning to design, build, and productize ML models using Google Cloud technologies.
Begin your professional journey as an AI engineer. Master the art of generating business insights from large datasets by employing deep learning and machine learning models.
Gain practical experience in optimizing, deploying, and scaling machine learning models using Google Cloud Platform through a structured five-course specialization with hands-on labs and a focus on advanced topics and recommendation systems.
Featured Tools
Exploration of ethical dilemmas in Fraud Detection and email spam classification models, alongside Generative AI collaboration.
The program provides students with the knowledge and abilities to differentiate between AI technologies, host models on Amazon Sagemaker, and apply AI and machine learning to real-world activities.
Learn about AI principles and platforms like IBM Watson and Hugging Face, integrate RAG technology for chatbot intelligence, create web apps using Python libraries, and develop interfaces with generative AI models and Python frameworks.
Welcome to the 'Gen AI for Code Generation for Python' course, where you will begin a journey to hone and expand your abilities in the field of code generation using Generative AI.
Optimize and interpret machine learning functions using gradients, derivatives, and gradient descent in neural networks.